In silico screening of proteins targeting circulating miRNAs for improved diagnosis of multiple myeloma

Suyal, Shradha; Singh, Manish Pratap; Shekhar, Himanshu; Srivastava, Sameer

doi:10.1016/j.bbrc.2018.02.103

Cited by 3 publications

(1 citation statement)

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“…To date, the focus of MM research has been bioinformatics modelling of large genomics and transcriptomics datasets, as well as pharmacokinetic and pharmacodynamic (PKPD) simulations of drug interactions. These have led to significant findings, including identifying novel signalling pathways [ 38 , 39 ], genetic risk factors [ 40 , 41 ], biomarkers [ 42 , 43 ], RNA interactions [ 44 , 45 , 46 , 47 ], and oncogenic inflammation and microenvironments [ 48 , 49 ]. Similarly, these large datasets can be used to develop models of the effects and side effects of drug interventions [ 50 ] by modelling the signalling interactions of different cell types [ 48 ].…”

Section: Three-dimensional Models Of Multiple Myelomamentioning

confidence: 99%

Utilizing 3D Models to Unravel the Dynamics of Myeloma Plasma Cells’ Escape from the Bone Marrow Microenvironment

Verbruggen,

Freeman,

Freeman

2024

Cancers

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Recent therapeutic advancements have markedly increased the survival rates of individuals with multiple myeloma (MM), doubling survival compared to pre-2000 estimates. This progress, driven by highly effective novel agents, suggests a growing population of MM survivors exceeding the 10-year mark post-diagnosis. However, contemporary clinical observations indicate potential trends toward more aggressive relapse phenotypes, characterized by extramedullary disease and dominant proliferative clones, despite these highly effective treatments. To build upon these advances, it is crucial to develop models of MM evolution, particularly focusing on understanding the biological mechanisms behind its development outside the bone marrow. This comprehensive understanding is essential to devising innovative treatment strategies. This review emphasizes the role of 3D models, specifically addressing the bone marrow microenvironment and development of extramedullary sites. It explores the current state-of-the-art in MM modelling, highlighting challenges in replicating the disease’s complexity. Recognizing the unique demand for accurate models, the discussion underscores the potential impact of these advanced 3D models on understanding and combating this heterogeneous and still incurable disease.

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